[논문]3D 스캐닝 임베디드 시스템 설계

홍선학; 조경순

doi:10.17662/ksdim.2017.13.4.049

[국내논문] 3D 스캐닝 임베디드 시스템 설계
3D Scanning Embedded System Design 원문보기

디지털산업정보학회논문지 = Journal of the Korea Society of Digital Industry and Information Management, v.13 no.4, 2017년, pp.49 - 56

홍선학 (서일대학교 컴퓨터응용전자과) , 조경순 (서일대학교 컴퓨터응용전자과)

Abstract ▼ AI-Helper

It is the approach of embedded system design that finds 3D scanning technology to analyze a real object or environment to collect data on its shape and appearance. 3D laser scanning developed during the last half of 20th century in an attempt to accurately recreate the surfaces of various objects. 1960s, early scanners used lights, cameras, and projectors to carry out the scanning in the lacks of performance which encountered many difficulties with shiny, mirroring, or transparent objects. The 3D scanning technology has leveled-up with helpful of embedded software platform research and design. In this paper, First we designed the hardware of laser/camera setup and turntable moving part which is the base of object. Second, we introduced the process of scanning 3D data with software and analyzed the resulting scanned image on the web server. Last, we made the 3D scanning embedded device with 3D printing model and experimented the 3D scanning performance with Raspberry Pi.

Keyword

AI 본문요약
AI-Helper

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제안 방법

In this paper, we designed the hardware which has stepper motors, laser modules and Pi camera and experimented 3D laser scanner with web server based for the purpose of gathering the real time scanning information[1-5].
To capture an object in three dimensions, the sensor would make several scans from different positions. The challenge was to join those scans together, remove the duplicated data and sift out the surplus that inevitably gathers when you collect several million points of data at once.

대상 데이터

We made 3D model in the Lab and combined parts with bolts and screw. The target object is a model car which has many discontinuities and contours because it has many difficulties of scanning[11-15].

참고문헌 (21)

Fausto Bernardini, Holly E. Rushmeier, The 3D Model Acquisition Pipeline, Computer. Graph. Forum 21, 2002, pp.149-172.

상세보기
http://vr.isdale.com/3DScanners/3d_scan_history/history.html
Brian Curless, From Range Scans to 3D Models ACM SIGGRAPH Computer Graphics 33(4):2000, pp.38-41.
http://en.wikipedia.org/wiki/3D_scanner
http://um3d.dc.umich.edu/services/scanning/scan_intro_process.html
Hansen H.N., Carneiro K., Haitjema H., De Chiffre L., "Dimensional Micro and Nano Metrology," CIRP Annals, 55-2, 2016, pp.721-743.
G., Hoffmann J., "Probing systems for dimensional micro- and nano-metrology," Meas. Sci. Technol., 17, 2006.

상세보기
Abdelhafiz, A., "Integrating Digital photogrammetry and Terrestrial Laser Scanning," Ph.D Dissertation, Nr 23, Braunschweig, ISBN 3-926146-184, 2009.
Frohlich, C., Mettenleiter, M., Hartl, F., "Imaging Laser Radar for 3-D Modelling of Real World Environments," Internat Conference on OPTO / IRS2 / MTT, Erfurt, 09. 2009.
Hong Sun Hag and Choi Young Woo, "Open source MongoDB with studying Node.js.," SungAnDang Pub, 03. 2016.
Hong Sun Hag, "Mobile Embedded USN platform Design," Korea Institure of Communications and Information Sciences, 37, 4th, 08. 2012.
Oh Il Suk, Computer Vision - From Basic to Recent Mobile Application, Hanbit Media, 07. 2014.
Hong Sun Hag, Cho Kyung Soon, "Computer Vision Platform Design with MEAN Stack," Korea Society of Digital Industry and Information Management, 09. 2015, pp.79-87.
Hong Sun Hag, "Mobile Arduino Embedded Platform Design," Korea Society of Digital Industry and Information Management, 4th, 12. 2013, pp.33-41.
Hong Sun Hag, "Real Time Linux System Design," Korea Society of Digital Industry and Information Management, 10th, 06. 2014, pp.13-20.
Francois Blais, Michel Picard, Guy Godin, "Accurate 3D acquisition of freely moving objects," 2nd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT Thessaloniki, Greece., Los Alamitos, CA: IEEE Computer Society, 2004, pp.422-429.
Song Zhang, Peisen Huang, "High-resolution, realtime 3-D shape measurement," Optical Engineering:, 01. 2006.
Kai Liu, Yongchang Wang, Daniel L. Lau, Qi Hao, Laurence G. Hassebrook, "Dual-frequency pattern scheme for high-speed 3-D shape measurement," Optics Express 18, 2010, pp.5229-5244.

상세보기
Drew Conway, John Myles, "Machine Learning for Hackers," Insight, 01. 2014.
Robert Lagani, OpenCV Computer Vision Application Programming Cookbook, Acorn, 04. 2012.
Patrick Mulder and Kelsey Breseman, "Node.js for Embedded Systems," O'REILLY, 10. 2016.

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